The GTM Coding Agent Playbook

Build your go-to-market engine with AI coding agents

12 chapters32,117 words161 min total readby Shawn Tenam

Why This Book ExistsThe gap between knowing AI exists and using it to build your pipeline

Part 1: Foundations

01Coding Agents vs Code EditorsA coding agent builds things. A code editor autocompletes your lines. Know the difference.02Context EngineeringThe quality of your output is determined by the quality of your context, not your prompt.03Token EfficiencyHow to manage your context window without burning money or losing coherence.

Part 2: The GTM Stack

04OAuth, CLI, and APIsThree ways to connect tools to your agent. Pick the right one for each job.05Automation AgentsBuild agents that run your GTM workflows while you sleep.06Local-First GTMRun your pipeline on your own machine. No vendor lock-in. No monthly fees.07Python for GTMThe language that connects every API in your stack.

Part 3: The Operating System

08The Tools EcosystemEvery tool in the modern GTM stack and when to use each one.09Voice DNA and ContentExtract your authentic voice so AI content sounds like you, not a robot.10Terminal MasteryThe terminal is your cockpit. Learn to fly it.

Fork It, Build It, Ship ItThis is an open-source playbook. Take it and make it yours.

Open Source Playbook

This guide is open source. Fork the repo to get the hands-on version with exercises, templates, and a full GTM-OS skeleton.

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ShawnOS.ai|theGTMOS.ai|theContentOS.ai

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